Evidence map›Paper›PMID 41282108›Full record

ArticleResearch square2025

Meta-sGWAS: Integrating brain spatial interactions to uncover genetic variants in Bipolar Disorder.

Wentao Li, Aoqi Wang, Yanfei Wang, Hongbo Bao, Kai Chen, Qianqian Song, Jia Wu, Xiaobo Zhou

Abstract readPreprint
In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Wentao LiMcWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, 7000 Fanin St, Houston, 77030, TX, USA.ORCID 0000-0002-6826-6636
Aoqi WangLung Cancer Center and West China Biomedical Big Data Centre, West China Hospital, Chengdu, 610041, China.
Yanfei WangDepartment of Health Outcomes & Biomedical Informatics, University of Florida, 1889 Museum Rd, Gainesville, 32611, FL, USA.
Hongbo BaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 Western Road of the Southern 4th Ring Road, Beijing, 100070, China.ORCID 0000-0003-1043-6951
Kai ChenDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, 77030, TX, USA.
Qianqian SongDepartment of Health Outcomes & Biomedical Informatics, University of Florida, 1889 Museum Rd, Gainesville, 32611, FL, USA.ORCID 0000-0002-4455-5302
Jia WuDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, 77030, TX, USA.ORCID 0000-0001-8392-8338
Xiaobo ZhouMcWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, 7000 Fanin St, Houston, 77030, TX, USA.ORCID 0000-0001-7191-6495

Funding

Multiscale Resolution and Deep Network Approaches for Deconvolving Different Cell Types in Bulk Tumor using Single-cell Sequencing Data (scDEC)R01CA241930 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ZHOU, XIAOBO · 2019 to 2023
$2.7M
Optimizing mRNA sequences with deep neural networksR01LM014156 · NLM · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Xiaobo Zhou · 2024 to 2026
$1.1M
Developing mRNAdesigner tool package for optimization of mRNA sequenceR01GM153822 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ZHOU, XIAOBO · 2024 to 2025
$624k
NCI NIH HHS R01 CA241930NIGMS NIH HHS R01 GM153822NLM NIH HHS R01 LM014156
6 · The paper itself

Abstract

Bipolar Disorder (BD) is influenced by both genetic factors and structural changes in brain regions, along with the impact of external environmental factors on brain network interactions. Conventional genome-wide association studies (GWAS) have identified genetic variants linked to BD but often overlook the spatial interactions and correlations in the brain. In this study, we introduced Spatial Genome-Wide Association Studies with Meta-analysis (Meta-sGWAS), a novel approach to decode the brain areas' interaction patterns and related genetic underpinnings. Based on the genomic and brain MRI datasets from Adolescent Brain Cognitive Development (ABCD) and the UK Biobank (UKB), Meta-sGWAS first revealed significant associations between brain ROIs and BD, as well as the interactions among these ROIs. Notably, the "Right-G_subcallosal" (

Indexed as

brain imagingmendelian randomizationmultimodalspatial GWAS

Identifiers

PMID41282108
PMCPMC12636716

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.